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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61086
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
AgroWorld is an intelligent agriculture management system that integrates machine learning and blockchain technology to improve farming efficiency and transparency. The system analyzes soil parameters, weather conditions, and crop requirements to recommend suitable crops and farming practices. Machine learning models are used to predict crop suitability and yield, while blockchain ensures secure and transparent tracking of agricultural data across the supply chain. In addition, the system provides features such as irrigation guidance, fertilizer recommenda- tions, and real-time monitoring. By combining data-driven decision-making with secure data management, AgroWorld enhances productivity, reduces resource wastage, and builds trust in agricultural processes. Furthermore, AgroWorld aims to bridge the gap between traditional farming practices and modern technological ad- vancements by providing an accessible and user-friendly platform. The integration of intelligent prediction models with secure data storage mechanisms ensures that farmers not only receive accurate recommendations but also bene- fit from reliable and tamper-proof information. This ap- proach promotes sustainable agriculture and supports long- term growth in the farming sector.
KEYWORDS
Publication Date
4/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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